A multi-parameter overall identification method used for industrial robot force signal processing

For industrial robot force signal measurement, we proposed a multi-parameter overall identification method, the results of identification used to compensate six-axis force/torque sensor sampling data, can greatly improve the measurement accuracy of contact force between robot end-effector and the environment. The parameters need to be identified comprise a deflection angle between the sensor coordinate system and the robot sixth axis coordinate system, the gravity of end-effector, the center of gravity of robot end-effector, the zero drift of sensor, a total of 11 parameters. The core idea of the parameters identification is that, firstly, building a parameter identification model about the parameters need to be identified, the robot posture, and the force measured by the sensor; Then, restructuring the parameters as unknown vector; Finally, using the least squares method to calculate the unknown vector which is the result of parameters. This method has two advantages: first, it overall consider a variety of factors, improve the measurement accuracy of the contact force; Second, it can overall identify all parameters, improve the identification efficiency. The theoretical analysis and experimental verification proved the correctness and validity of the method.